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Software Dev Engineer II, Transportation Finance Systems
必备技能
Machine Learning
If you are looking for high impact, high growth opportunity with interesting engineering challenges in a fast-paced environment, this is the role for you. We have a number of untapped high impact engineering and business opportunities with high criticality for Amazon.
What will you own?
You will own building the TFS platform to accurately reflect the actual economics of Amazon transportation, globally — spanning the full spectrum from financial reconciliation to intelligent month-end close acceleration. You will design and deliver Agentic AI systems, anomaly detection solutions, and financial insights frameworks that surface actionable intelligence across balance sheet and P&L dimensions, while also building the algorithms and infrastructure needed to correctly account for transportation costs, liabilities, and revenues at scale. The dynamic and growing nature of the transportation business demands an integrated approach to accounting — one that requires deep business understanding, technical acumen, and mathematical rigor to better inform operational decisions. You will shape initiatives that reduce manual intervention and bring intelligence to Amazon's financial close — collaborating closely with partner teams across TFS and MEX to improve reliability, coverage, and speed.
About the team
We, Transportation Financial Systems (TFS) are responsible for building technologies that support financial aspects for Amazon transportation. Amazon’s transportation systems get millions of packages to customers worldwide faster and cheaper while providing world-class customer experience – from checkout to shipment tracking to delivery. Our software systems include services that handle tens of thousands or requests per second and make decisions to pay billions of dollars a year and ensure that transportation's liabilities and revenues are correctly accounted for. With rapid expansion into new geographies, innovations in supply chain, delivery models and customer experience, increasingly complex transportation network, ever-expanding selection of products and growing number of shipments worldwide, we have an opportunity to build software that scales not only with volume but also with the business models. We leverage latest technologies in big data, machine learning, real time analytics and high volume, low latency, high availability services.
TFS is 100+ tech team across eight different platforms. We deal with problems of scale. Billions of dollars of spend is automated through our platforms and pipelines. We are a very fast growing org and ramping up our team across all engineering roles. This position offers the opportunity to collaborate with our global product teams and customers across the world and other tech teams in the organization as we raise the bar in delivering innovation.
Our engineering team is completely based out of India, and we build global solutions.
We have a large product and tech roadmap and are significantly ramping our tech team to meet the next level of product requirements for Trans Finance.
Basic Qualifications
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
Preferred Qualifications
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
- 2+ years of big data technologies such as AWS, Hadoop, Spark, Pig, Hive, Lucene/SOLR or Storm/Samza experience
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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Amazon
PublicAmazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.
10,001+
员工数
Seattle
总部位置
$1.5T
企业估值
评价
10条评价
3.4
10条评价
工作生活平衡
2.5
薪酬
4.2
企业文化
3.0
职业发展
3.8
管理层
2.7
65%
推荐率
优点
Great benefits and competitive pay
Learning and advancement opportunities
Good teamwork and colleagues
缺点
High pressure and long hours
Poor work-life balance
Toxic work culture and management issues
薪资范围
4个数据点
Junior/L3
L2
L6
M3
M4
M5
M6
Mid/L4
Principal/L7
Senior/L5
Staff/L6
Director
L3
L4
L5
Junior/L3 · Data Scientist L4
0份报告
$181,968
年薪总额
基本工资
-
股票
-
奖金
-
$154,672
$209,264
面试评价
6条评价
难度
4.0
/ 5
时长
21-35周
体验
正面 0%
中性 17%
负面 83%
面试流程
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Technical Interview
6
Onsite/Virtual Interviews
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
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